Search results for "Processes"

showing 10 items of 3831 documents

A family of heterometallic wheels containing potentially fourteen hundred siblings

2005

The synthesis and structure of new heterometallic wheels are reported, with preliminary studies of selected compounds.

Stereochemistrymusculoskeletal neural and ocular physiologytechnology industry and agricultureMetals and AlloysMineralogyGeneral ChemistryBiologyCatalysisSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialsbehavior and behavior mechanismsMaterials ChemistryCeramics and Compositeshuman activitiespsychological phenomena and processesChem. Commun.
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Investigation of Temperature-Induced Phase Transitions in DOPC and DPPC Phospholipid Bilayers Using Temperature-Controlled Scanning Force Microscopy

2004

Under physiological conditions, multicomponent biological membranes undergo structural changes which help define how the membrane functions. An understanding of biomembrane structure-function relations can be based on knowledge of the physical and chemical properties of pure phospholipid bilayers. Here, we have investigated phase transitions in dipalmitoylphosphatidylcholine (DPPC) and dioleoylphosphatidylcholine (DOPC) bilayers. We demonstrated the existence of several phase transitions in DPPC and DOPC mica-supported bilayers by both atomic force microscopy imaging and force measurements. Supported DPPC bilayers show a broad L(beta)-L(alpha) transition. In addition to the main transition …

Steric effectsPhase transition12-DipalmitoylphosphatidylcholineBiophysicsPhospholipid02 engineering and technologyMicroscopy Atomic Force010402 general chemistry01 natural sciencesPhase TransitionQuantitative Biology::Subcellular Processeschemistry.chemical_compoundTransition TemperaturePhospholipidsPhysics::Biological PhysicsMembranesBilayerTransition temperaturedigestive oral and skin physiologyBiological membrane021001 nanoscience & nanotechnology0104 chemical sciencesCondensed Matter::Soft Condensed MatterCrystallographyMembranechemistryChemical physicsDipalmitoylphosphatidylcholineAluminum Silicateslipids (amino acids peptides and proteins)0210 nano-technologyBiophysical Journal
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Effects of solar irradiance noise on a complex marine trophic web

2022

AbstractThe analysis of experimental data of the solar irradiance, collected on the marine surface, clearly highlights the intrinsic stochasticity of such an environmental parameter. Given this result, effects of randomly fluctuating irradiance on the population dynamics of a marine ecosystem are studied on the basis of the stochastic 0-dimensional biogeochemical flux model. The noisy fluctuations of the irradiance are formally described as a multiplicative Ornstein-Uhlenbeck process, that is a self-correlated Gaussian noise. Nonmonotonic behaviours of the variance of the marine populations’ biomass are found with respect to the intensity and the autocorrelation time of the noise source, ma…

Stochastic ProcessesFood ChainSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciMultidisciplinaryPopulation DynamicsBiomassEcosystem
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Effective target arrangement in a deterministic scale-free graph

2010

We study the random walk problem on a deterministic scale-free network, in the presence of a set of static, identical targets; due to the strong inhomogeneity of the underlying structure the mean first-passage time (MFPT), meant as a measure of transport efficiency, is expected to depend sensitively on the position of targets. We consider several spatial arrangements for targets and we calculate, mainly rigorously, the related MFPT, where the average is taken over all possible starting points and over all possible paths. For all the cases studied, the MFPT asymptotically scales like N^{theta}, being N the volume of the substrate and theta ranging from (1 - log 2/log3), for central target(s)…

Stochastic ProcessesModels StatisticalStatistical Mechanics (cond-mat.stat-mech)Structure (category theory)FOS: Physical sciencesScale (descriptive set theory)Free graphMeasure (mathematics)Models BiologicalCombinatoricsBiological Clocks; Computer Simulation; Models Biological; Models Statistical; Stochastic Processes; Statistical and Nonlinear Physics; Statistics and Probability; Condensed Matter PhysicsPosition (vector)Biological ClocksComputer SimulationCondensed Matter - Statistical MechanicsMathematics
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Bond-based 3D-chiral linear indices: Theory and QSAR applications to central chirality codification

2008

The recently introduced non-stochastic and stochastic bond-based linear indices are been generalized to codify chemical structure information for chiral drugs, making use of a trigonometric 3D-chirality correction factor. These improved modified descriptors are applied to several well-known data sets to validate each one of them. Particularly, Cramer's steroid data set has become a benchmark for the assessment of novel quantitative structure activity relationship methods. This data set has been used by several researchers using 3D-QSAR approaches such as Comparative Molecular Field Analysis, Molecular Quantum Similarity Measures, Comparative Molecular Moment Analysis, E-state, Mapping Prope…

Stochastic ProcessesQuantitative structure–activity relationshipIndolesProperty (programming)ChemistryComparabilityQuantitative Structure-Activity RelationshipAngiotensin-Converting Enzyme InhibitorsStereoisomerismGeneral ChemistrySet (abstract data type)Data setComputational MathematicsModels ChemicalPiperidinesComputational chemistryDrug DesignBenchmark (computing)Molecular symmetryCombinatorial Chemistry TechniquesReceptors sigmaThermodynamicsTrigonometryAlgorithmJournal of Computational Chemistry
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Hadamard NMR imaging with slice selection

1996

Stochastic NMR imaging is one of the less common NMR imaging techniques. Nevertheless, stochastic rf excitation is characterized by some remarkable features: the rf excitation power is at least two orders of magnitude lower in comparison to conventionally pulsed NMR imaging schemes. Thus, the technique is of interest for imaging of large objects. The systematic noise inherent in images obtained with random noise excitation has been eliminated by using pseudorandom noise together with Hadamard transformation for data evaluation. Data acquisition times are comparable to those of ultrafast imaging techniques. For slice selection, z magnetization is destroyed outside the slice region with speci…

Stochastic ProcessesSignal processingMagnetic Resonance SpectroscopyFourier AnalysisSpectrometerbusiness.industryStochastic processBiomedical EngineeringBiophysicsSignal Processing Computer-AssistedImage processingMagnetic Resonance ImagingNoise (electronics)symbols.namesakeNuclear magnetic resonanceOpticsFourier analysisHadamard transformPseudorandom noiseComputer Science::Computer Vision and Pattern RecognitionImage Processing Computer-AssistedsymbolsRadiology Nuclear Medicine and imagingbusinessMathematicsMagnetic Resonance Imaging
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Stochastic acceleration in generalized squared Bessel processes

2015

We analyze the time behavior of generalized squared Bessel processes, which are useful for modeling the relevant scales of stochastic acceleration problems. These nonstationary stochastic processes obey a Langevin equation with a non-Gaussian multiplicative noise. We obtain the long-time asymptotic behavior of the probability density function for non-Gaussian white and colored noise sources. We find that the functional form of the probability density functions is independent of the statistics of the noise source considered. Theoretical results are in good agreement with those obtained by numerical simulations of the Langevin equation with pulse noise sources.

Stochastic controlGeneralized inverse Gaussian distributionStatistics and ProbabilityMathematical optimizationBessel processexact resultStatistical and Nonlinear Physicsstochastic processes (theory)Noise (electronics)Multiplicative noiseLangevin equationStochastic differential equationColors of noiseStatistical physicsstochastic particle dynamics (theory)Statistics Probability and UncertaintyMathematicsStatistical and Nonlinear Physic
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A Fokker–Planck control framework for multidimensional stochastic processes

2013

AbstractAn efficient framework for the optimal control of probability density functions (PDFs) of multidimensional stochastic processes is presented. This framework is based on the Fokker–Planck equation that governs the time evolution of the PDF of stochastic processes and on tracking objectives of terminal configuration of the desired PDF. The corresponding optimization problems are formulated as a sequence of open-loop optimality systems in a receding-horizon control strategy. Many theoretical results concerning the forward and the optimal control problem are provided. In particular, it is shown that under appropriate assumptions the open-loop bilinear control function is unique. The res…

Stochastic controlMathematical optimizationContinuous-time stochastic processOptimization problemoptimal control stochastic processesStochastic processApplied MathematicsOptimal controlComputational MathematicsModel predictive controlMultidimensional stochastic processOptimal control theoryLimit cycleProbability density functionFokker–Planck equationFokker–Planck equationModel predictive controlMathematicsJournal of Computational and Applied Mathematics
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A subtle error in conventional stochastic linearization techniques

1998

Abstract The stochastic linearization technique as applied to the SDOF system is re-examined. Two standard procedures associated with the stochastic linearization, widely adopted in the literature, are shown to be erroneous. Two new procedures to correct the errors made in previous works are introduced. To gain more insight, the procedures are applied to the quintic oscillator. Comparative numerical analysis is performed.

Stochastic linearization; Random processesControl theoryLinearizationGeneral MathematicsApplied MathematicsNumerical analysisStochastic linearizationRandom processesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematicsQuintic functionChaos, Solitons & Fractals
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Spatio-temporal behaviour of the deep chlorophyll maximum in Mediterranean Sea: Development of a stochastic model for picophytoplankton dynamics

2013

In this paper, by using a stochastic reaction-diffusion-taxis model, we analyze the picophytoplankton dynamics in the basin of the Mediterranean Sea, characterized by poorly mixed waters. The model includes intraspecific competition of picophytoplankton for light and nutrients. The multiplicative noise sources present in the model account for random fluctuations of environmental variables. Phytoplankton distributions obtained from the model show a good agreement with experimental data sampled in two different sites of the Sicily Channel. The results could be extended to analyze data collected in different sites of the Mediterranean Sea and to devise predictive models for phytoplankton dynam…

Stochastic modellingFOS: Physical sciencesStructural basinBiologyRandom processe01 natural sciencesIntraspecific competitionMediterranean sea0103 physical sciencesPhytoplanktonMarine ecosystemSpatial ecologyMarine ecosystem14. Life underwaterQuantitative Biology - Populations and Evolution010306 general physicsPhytoplankton dynamic010301 acousticsEcology Evolution Behavior and SystematicsDeep chlorophyll maximumEcologyEcological ModelingPopulations and Evolution (q-bio.PE)Spatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Oceanography13. Climate actionPhysics - Data Analysis Statistics and ProbabilityFOS: Biological sciencesSpatial ecologyStochastic differential equationsDeep chlorophyll maximumData Analysis Statistics and Probability (physics.data-an)
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